From RFM to LSTM: Predicting customer future with autoregressive neural nets

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Original language	American English
Title of host publication	Proceedings of the 48th EMAC Annual Conference, Hamburg, May 28-31, 2019
Subtitle of host publication	New Insights into Customer Management II
Publisher	EMAC
Publication status	Published - 2019

Series	Proceedings of the European Marketing Academy Conference (EMAC)
ISSN	2709-1589

Cite this

@inproceedings{adc7b2f0d2a947ada4edf59dad29cc62,

title = "From RFM to LSTM: Predicting customer future with autoregressive neural nets",

author = "Thomas Reutterer and Jan Valendin and Klaudius Kalcher and Michael Platzer",

year = "2019",

language = "Englisch (Amerika)",

series = "Proceedings of the European Marketing Academy Conference (EMAC)",

publisher = "EMAC",

booktitle = "Proceedings of the 48th EMAC Annual Conference, Hamburg, May 28-31, 2019",

}

From RFM to LSTM: Predicting customer future with autoregressive neural nets. / Reutterer, Thomas; Valendin, Jan; Kalcher, Klaudius et al.
Proceedings of the 48th EMAC Annual Conference, Hamburg, May 28-31, 2019: New Insights into Customer Management II. EMAC, 2019. (Proceedings of the European Marketing Academy Conference (EMAC)).

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

T1 - From RFM to LSTM: Predicting customer future with autoregressive neural nets

AU - Reutterer, Thomas

AU - Valendin, Jan

AU - Kalcher, Klaudius

AU - Platzer, Michael

PY - 2019

Y1 - 2019

M3 - Contribution to conference proceedings

T3 - Proceedings of the European Marketing Academy Conference (EMAC)

BT - Proceedings of the 48th EMAC Annual Conference, Hamburg, May 28-31, 2019

PB - EMAC

ER -